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OK Steer Feedout Utilizing Vision Image Analysis and Warner-Bratzler Shear Force Data in Educational Programming Greg Highfill Area Livestock Specialist.

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Presentation on theme: "OK Steer Feedout Utilizing Vision Image Analysis and Warner-Bratzler Shear Force Data in Educational Programming Greg Highfill Area Livestock Specialist."— Presentation transcript:

1 OK Steer Feedout Utilizing Vision Image Analysis and Warner-Bratzler Shear Force Data in Educational Programming Greg Highfill Area Livestock Specialist Oklahoma Cooperative Extension Service

2 Since 1984 Groups of 5 head Fall Born Test – August – Feb. Spring Born Test – Nov. - May 150 – 180 Days on Feed Grid Market – 3 of 5 est. Choice

3 Marbling Mt Choice ° R. C. Brinlee 132 DOF 179 Carcass Wt. 783 Fat.35 REA 13.0 YG Calc 2.99 USDA YG 2 CAB

4 Marbling Sl Select - Randall Newton 57 DOF 165 Carcass Wt. 690 Fat.30 REA 12.6 YG Calc 2.24 USDA YG 2

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8 Warner-Bratzler Shear Force Since % of steers 593 steaks sampled OSU FAPC

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11 R = & upVery Tough Tough Tender < 8.5 lbsVery Tender

12 Vision Image Analysis - VIA

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15 Marbling Mt 40 Choice ° Sterling Silver Fat Th..60 in. REA 11.9 sq. in. Walker Hall 26

16 VIA

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18 Vision Image Analysis Group 1 N=48 Group 2 N=21 Average Lean Area, sq in Average Fat Thickness Average Adj. Marbling Score Average Lean Color Score Average Red Meat Yield 72.65%72.22% Red Meat Yield Max/Min 75.3 / / 71.4

19 Vision Image Analysis Group 1 N=48 Group 2 N=21 Percent Light Muscled 14.6%14.3% Percent Average Muscled 58.3%76.2% Percent Heavy Muscled 27.1%9.5%

20 r =

21 Vision Image Analysis Developed to Enhance USDA Quality and Yield Grading Approved October 2006 Still in Implementation Stage RMS to E+V Camera – Cargill Meat Solutions Increase Producer Feedback Extension programming Value Determination

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